DeeEmm

Pragmatism in code

Waxing lyrical about life the universe and everything software related since lunchtime 2006.

Migrating from Geeklog to Joomla

[UPDATED!]

Now that the New Year is under way, I've turned my focus back to the Joomla project that i have been working on. This is the migration of an existing Geeklog site over to the Joomla (JomSocial) platform. The basic site design and functionality has now been finalised, and the next stage is to start migrating the existing data across.

The migration away from Geeklog is due to the lack of development on both the Geeklog and GLFusion platforms. Although there have been releases in recent times, these have been little more than security updates. GLFusion promised to take Geeklog into the current Web 2 age, but after over a year, it has failed to really pick up any momentum, plus, with many features missing from the core and requiring non-existant third party plugins, the decision was made to migrate away from Geeklog, to the better supported Joomla.

Unfortunately, it does not appear that many (any) have trodden this path before, and so i was not able to turn up any suitable info from the usual Google, search. This meant a bit of DIY hacking to get the data migrated. I did manage to find enough info on user authentication to be able to figure out how to migrate the users across without needing to get users to change passwords, which is a boon for a site like this one, which has some 1600 odd members.

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Dolphin Tag Converter

If like me, you used the migration tool to transfer your Dolphin 6 based site over to Dolphin 7, you will notice that there are some things that need a little tweaking. One of these things for me was the tags.

On D6 tags could use a space as a delimiter, but on Dolphin 7 the space is ignored, this is to allow multi word tags. What this effectively does is create massive long 'tag words' out of those tags that were entered without using a comma as a delimiter in D6.

The following code reads the tags and splits them up if more than one word is detected. it then deletes the original entry and creates a new entry for each word detected using the original data. Single word tags are ignored

$sql_query = mysql_query("SELECT * FROM `sys_tags`");

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